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R
Javascript (d3.js)
Python
Bash
SQL
Java

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Made with the R package pagedown.

The source code is available at github.com/nstrayer/cv.

Last updated on 2019-10-20.

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Christopher Teixeira

I have supported a variety of federal and commercial customers over my career. The common theme across my career is using data to support decision making amongst my customers. Traditionally, this means being able to understand how it was collected and its weaknesses, adding value through incorporation into a model, and communicating it through a medium like interactive visualizations.

Education

M.S., Operations Research

George Mason University

Fairfax, VA

2010 - 2008

  • Concentration in Decision Analysis
  • Capstone project using Integer Programming

B.S., Mathematics

Worcester Polytechnic Institute

Worcester, MA

2006 - 2002

  • Focus in Applied Statistics and Probability
  • Capstone project using Factor Analysis, PCA, and logistic regression

Industry Experience

I have worked in a variety of roles all varying forms of using data. In each position I have enjoyed opportunities to mentor other staff, helping them learn about how to become better data scientists.

Senior Analytics Consultant

Epsilon

Wakefield, MA

2014 - 2012

  • Insert description later

Senior Analytics Consultant

IBM

Herndon, VA

2012 - 2011

  • Insert description later

Operations Research Analyst

SAIC

McLean, VA

2011 - 2006

  • Insert description later

Principal Data Scientist

MITRE

Bedford, MA

N/A

  • Insert description later
  • Constructed training protocol for bringing third parties up to speed with new protocol.




Selected Data Science Writing

I regularly blog about data science and visualization on my blog FeasibleAnalytics

Using AWK and R to Parse 25tb

LiveFreeOrDichotomize.com

N/A

2019

  • Story of parsing large amounts of genomics data.
  • Provided advice for dealing with data much larger than disk.
  • Reached top of HackerNews.

Classifying physical activity from smartphone data

RStudio Tensorflow Blog

N/A

2018

  • Walk through of training a convolutional neural network to achieve state of the art recognition of activities from accelerometer data.
  • Contracted article.

The United States of Seasons

LiveFreeOrDichotomize.com

N/A

2018

  • GIS analysis of weather data to find the most ‘seasonal’ locations in United States
  • Used Bayesian regression methods for smoothing sparse geospatial data.

A year as told by fitbit

LiveFreeOrDichotomize.com

N/A

2017

  • Analyzing a full years worth of second-level heart rate data from wearable device.
  • Demonstrated visualization-based inference for large data.

MCMC and the case of the spilled seeds

LiveFreeOrDichotomize.com

N/A

2017

  • Full Bayesian MCMC sampler running in your browser.
  • Coded from scratch in vanilla Javascript.

The Traveling Metallurgist

LiveFreeOrDichotomize.com

N/A

2017

  • Pure javascript implementation of traveling salesman solution using simulated annealing.
  • Allows reader to customize the number and location of cities to attempt to trick the algorithm.

Selected Press (About)

Great paper? Swipe right on the new ‘Tinder for preprints’ app

Science

N/A

2017

  • Story of the app Papr made with Jeff Leek and Lucy D’Agostino McGowan.

Swipe right for science: Papr app is ‘Tinder for preprints’

Nature News

N/A

2017

  • Second press article for app Papr.

The Deeper Story in the Data

University of Vermont Quarterly

N/A

2016

  • Story on my path post graduation and the power of narrative.

Selected Press (By)

The Great Student Migration

The New York Times

N/A

2016

  • Most shared and discussed article from the New York Times for August 2016.

Wildfires are Getting Worse, The New York Times

The New York Times

N/A

2016

  • GIS analysis and modeling of fire patterns and trends
  • Data in collaboration with NASA and USGS

Who’s Speaking at the Democratic National Convention?

The New York Times

N/A

2016

  • Data scraped from CSPAN records to figure out who talked and past conventions.

Who’s Speaking at the Republican National Convention?

The New York Times

N/A

2016

  • Used same data scraping techniques as Who’s Speaking at the Democratic National Convention?

A Trail of Terror in Nice, Block by Block

The New York Times

N/A

2016

  • Led research effort to put together story of 2016 terrorist attack in Nice, France in less than 12 hours.
  • Work won Silver medal at Malofiej 2017, and gold at Society of News and Design.

Selected Publications, Posters, and Talks

Charge Reductions Associated with Shortening Time to Recovery in Septic Shock

Chest

N/A

2019

  • Authored with Wesley H. Self, MD MPH; Dandan Liu, PhD; Stephan Russ, MD, MPH; Michael J. Ward, MD, PhD, MBA; Nathan I. Shapiro, MD, MPH; Todd W. Rice, MD, MSc; Matthew W. Semler, MD, MSc.

Multimorbidity Explorer | A shiny app for exploring EHR and biobank data

RStudio::conf 2019

N/A

2019

  • Contributed Poster. Authored with Yaomin Xu.

Taking a network view of EHR and Biobank data to find explainable multivariate patterns

Vanderbilt Biostatistics Seminar Series

N/A

2019

  • University wide seminar series.

Patient-specific risk factors independently influence survival in Myelodysplastic Syndromes in an unbiased review of EHR records

Under-Review (copy available upon request.)

N/A

2019

  • Bayesian network analysis used to find novel subgroups of patients with Myelodysplastic Syndromes (MDS).
  • Analysis done using method built for my dissertation.

Patient specific comorbidities impact overall survival in myelofibrosis

Under-Review (copy available upon request.)

N/A

2019

  • Bayesian network analysis used to find robust novel subgroups of patients with given genetic mutations.
  • Analysis done using method built for my dissertation.

R timelineViz: Visualizing the distribution of study events in longitudinal studies

Under-Review (copy available upon request.)

N/A

2018

  • Authored with Alex Sunderman of the Vanderbilt Department of Epidemiology.

Continuous Classification using Deep Neural Networks

Vanderbilt Biostatistics Qualification Exam

N/A

2017

  • Review of methods for classifying continuous data streams using neural networks
  • Successfully met qualifying examination standards

Asymmetric Linkage Disequilibrium: Tools for Dissecting Multiallelic LD

Journal of Human Immunology

N/A

2015

  • Authored with Richard Single, Vanja Paunic, Mark Albrecht, and Martin Maiers.

An Agent Based Model of Mysis Migration

International Association of Great Lakes Research Conference

N/A

2015

  • Authored with Brian O’Malley, Sture Hansson, and Jason Stockwell.

Declines of Mysis diluviana in the Great Lakes

Journal of Great Lakes Research

N/A

2015

  • Authored with Peter Euclide and Jason Stockwell.